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Maximally Informative Hierarchical Representations of High-Dimensional
  Data

Maximally Informative Hierarchical Representations of High-Dimensional Data

27 October 2014
Greg Ver Steeg
Aram Galstyan
    TPM
ArXivPDFHTML

Papers citing "Maximally Informative Hierarchical Representations of High-Dimensional Data"

8 / 8 papers shown
Title
Optimal high-level descriptions of dynamical systems
Optimal high-level descriptions of dynamical systems
David Wolpert
Joshua A. Grochow
E. Libby
Simon DeDeo
AI4CE
33
5
0
25 Sep 2014
Discovering Structure in High-Dimensional Data Through Correlation
  Explanation
Discovering Structure in High-Dimensional Data Through Correlation Explanation
Greg Ver Steeg
Aram Galstyan
CML
68
99
0
04 Jun 2014
A Survey on Latent Tree Models and Applications
A Survey on Latent Tree Models and Applications
R. Mourad
Christine Sinoquet
N. Zhang
Tengfei Liu
Philippe Leray
59
92
0
04 Feb 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
259
14,912
1
21 Dec 2013
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
437
16,940
0
20 Dec 2013
Demystifying Information-Theoretic Clustering
Demystifying Information-Theoretic Clustering
Greg Ver Steeg
Aram Galstyan
Fei Sha
Simon DeDeo
63
28
0
15 Oct 2013
Multivariate Information Bottleneck
Multivariate Information Bottleneck
N. Friedman
Ori Mosenzon
Noam Slonim
Naftali Tishby
74
221
0
10 Jan 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
250
12,431
0
24 Jun 2012
1